Abstract
Model-Driven Engineering (MDE) provides a huge body of knowledge of automation for many different engineering tasks, especially those involving transitioning from design to implementation. With the huge progress made in AI, questions arise about the future of MDE, such as how existing MDE techniques and technologies can be improved or how other activities that currently lack dedicated support can also be automated. However, at the same time, it has to be revisited where and how models should be used to keep the engineers in the loop for creating, operating, and maintaining complex systems. To trigger dedicated research on these open points, we discuss the history of automation in MDE and present perspectives on how automation in MDE can be further improved and which obstacles have to be overcome in both the medium and long-term.
| Original language | English |
|---|---|
| Article number | 122 |
| Pages (from-to) | 1-25 |
| Number of pages | 25 |
| Journal | ACM Transactions on Software Engineering and Methodology (TOSEM) |
| Volume | 34 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 24 May 2025 |
Fields of science
- 102020 Medical informatics
- 102022 Software development
- 102006 Computer supported cooperative work (CSCW)
- 102027 Web engineering
- 502050 Business informatics
- 102040 Quantum computing
- 102016 IT security
- 503015 Subject didactics of technical sciences
- 509026 Digitalisation research
- 102015 Information systems
- 102034 Cyber-physical systems
- 502032 Quality management
- 211928 Systems engineering
JKU Focus areas
- Digital Transformation